HiSpOD: probe design for functional DNA microarrays.

International audienceMOTIVATION: The use of DNA microarrays allows the monitoring of the extreme microbial diversity encountered in complex samples like environmental ones as well as that of their functional capacities. However, no probe design software currently available is adapted to easily design efficient and explorative probes for functional gene arrays. RESULTS: We present a new efficient functional microarray probe design algorithm called HiSpOD (High Specific Oligo Design). This uses individual nucleic sequences or consensus sequences produced by multiple alignments to design highly specific probes. Indeed, to bypass crucial problem of cross-hybridizations, probe specificity is assessed by similarity search against a large formatted database dedicated to microbial communities containing about 10 million coding sequences (CDS). For experimental validation, a microarray targeting genes encoding enzymes involved in chlorinated solvent biodegradation was built. The results obtained from a contaminated environmental sample proved the specificity and the sensitivity of probes designed with the HiSpOD program. AVAILABILITY: http://fc.isima.fr/~g2im/hispod/

Gene Capture Coupled to High-Throughput Sequencing as a Strategy for Targeted Metagenome Exploration

International audienceNext-generation sequencing (NGS) allows faster acquisition of metagenomic data, but complete exploration of complex ecosystems is hindered by the extraordinary diversity of microorganisms. To reduce the environmental complexity, we created an innovative solution hybrid selection (SHS) method that is combined with NGS to characterize large DNA fragments harbouring biomarkers of interest. The quality of enrichment was evaluated after fragments containing the methyl coenzyme M reductase subunit A gene (mcrA), the biomarker of methanogenesis, were captured from a Methanosarcina strain and a metagenomic sample from a meromictic lake. The methanogen diversity was compared with direct metagenome and mcrA-based amplicon pyrosequencing strategies. The SHS approach resulted in the capture of DNA fragments up to 2.5 kb with an enrichment efficiency between 41 and 100%, depending on the sample complexity. Compared with direct metagenome and amplicons sequencing, SHS detected broader mcrA diversity, and it allowed efficient sampling of the rare biosphere and unknown sequences. In contrast to amplicon-based strategies, SHS is less biased and GC independent, and it recovered complete biomarker sequences in addition to conserved regions. Because this method can also isolate the regions flanking the target sequences, it could facilitate operon reconstructions

Identification of transcriptional signals in Encephalitozoon cuniculi widespread among Microsporidia phylum: support for accurate structural genome annotation

<p>Abstract</p> <p>Background</p> <p>Microsporidia are obligate intracellular eukaryotic parasites with genomes ranging in size from 2.3 Mbp to more than 20 Mbp. The extremely small (2.9 Mbp) and highly compact (~1 gene/kb) genome of the human parasite <it>Encephalitozoon cuniculi </it>has been fully sequenced. The aim of this study was to characterize noncoding motifs that could be involved in regulation of gene expression in <it>E. cuniculi </it>and to show whether these motifs are conserved among the phylum Microsporidia.</p> <p>Results</p> <p>To identify such signals, 5' and 3'RACE-PCR experiments were performed on different E. cuniculi mRNAs. This analysis confirmed that transcription overrun occurs in E. cuniculi and may result from stochastic recognition of the AAUAAA polyadenylation signal. Such experiments also showed highly reduced 5'UTR's (<7 nts). Most of the <it>E. cuniculi </it>genes presented a CCC-like motif immediately upstream from the coding start. To characterize other signals involved in differential transcriptional regulation, we then focused our attention on the gene family coding for ribosomal proteins. An AAATTT-like signal was identified upstream from the CCC-like motif. In rare cases the cytosine triplet was shown to be substituted by a GGG-like motif. Comparative genomic studies confirmed that these different signals are also located upstream from genes encoding ribosomal proteins in other microsporidian species including <it>Antonospora locustae</it>, <it>Enterocytozoon bieneusi</it>, <it>Anncaliia algerae </it>(syn. <it>Brachiola algerae</it>) and <it>Nosema ceranae</it>. Based on these results a systematic analysis of the ~2000 E. cuniculi coding DNA sequences was then performed and brings to highlight that 364 translation initiation codons (18.29% of total CDSs) had been badly predicted.</p> <p>Conclusion</p> <p>We identified various signals involved in the maturation of E. cuniculi mRNAs. Presence of such signals, in phylogenetically distant microsporidian species, suggests that a common regulatory mechanism exists among the microsporidia. Furthermore, 5'UTRs being strongly reduced, these signals can be used to ensure the accurate prediction of translation initiation codons for microsporidian genes and to improve microsporidian genome annotation.</p

Protein sources alternative to meat: state of the art and involvement of fermentation

Meat represents an important protein source, even in developing countries, but its production is scarcely sustainable, and its excessive consumption poses health issues. An increasing number of Western consumers would replace, at least partially, meat with alternative protein sources. This review aims at: (i) depicting nutritional, functional, sensory traits, and critical issues of single-cell proteins (SCP), filamentous fungi, microalgae, vegetables (alone or mixed with milk), and insects and (ii) displaying how fermentation could improve their quality, to facilitate their use as food items/ingredients/supplements. Production of SCP (yeasts, filamentous fungi, microalgae) does not need arable land and potable water and can run continuously, also using wastes and byproducts. Some filamentous fungi are also consumed as edible mushrooms, and others are involved in the fermentation of traditional vegetable-based foods. Cereals, pseudocereals, and legumes may be combined to offer an almost complete amino acid profile. Fermentation of such vegetables, even in combination with milk-based products (e.g., tarhana), could increase nutrient concentrations, including essential amino acids, and improve sensory traits. Different insects could be used, as such or, to increase their acceptability, as ingredient of foods (e.g., pasta). However, insects as a protein source face with safety concerns, cultural constraints, and a lack of international regulatory framework.info:eu-repo/semantics/publishedVersio

Detecting variants with Metabolic Design, a new software tool to design probes for explorative functional DNA microarray development

<p>Abstract</p> <p>Background</p> <p>Microorganisms display vast diversity, and each one has its own set of genes, cell components and metabolic reactions. To assess their huge unexploited metabolic potential in different ecosystems, we need high throughput tools, such as functional microarrays, that allow the simultaneous analysis of thousands of genes. However, most classical functional microarrays use specific probes that monitor only known sequences, and so fail to cover the full microbial gene diversity present in complex environments. We have thus developed an algorithm, implemented in the user-friendly program Metabolic Design, to design efficient explorative probes.</p> <p>Results</p> <p>First we have validated our approach by studying eight enzymes involved in the degradation of polycyclic aromatic hydrocarbons from the model strain <it>Sphingomonas paucimobilis </it>sp. EPA505 using a designed microarray of 8,048 probes. As expected, microarray assays identified the targeted set of genes induced during biodegradation kinetics experiments with various pollutants. We have then confirmed the identity of these new genes by sequencing, and corroborated the quantitative discrimination of our microarray by quantitative real-time PCR. Finally, we have assessed metabolic capacities of microbial communities in soil contaminated with aromatic hydrocarbons. Results show that our probe design (sensitivity and explorative quality) can be used to study a complex environment efficiently.</p> <p>Conclusions</p> <p>We successfully use our microarray to detect gene expression encoding enzymes involved in polycyclic aromatic hydrocarbon degradation for the model strain. In addition, DNA microarray experiments performed on soil polluted by organic pollutants without prior sequence assumptions demonstrate high specificity and sensitivity for gene detection. Metabolic Design is thus a powerful, efficient tool that can be used to design explorative probes and monitor metabolic pathways in complex environments, and it may also be used to study any group of genes. The Metabolic Design software is freely available from the authors and can be downloaded and modified under general public license.</p

Détermination de sondes oligonucléotidiques pour biopuces phylogénétiques en environnement grille de calcul

Détermination de sondes oligonucléotidiques pour biopuces phylogénétiques en environnement grille de calcu

Caractérisation des capacités métaboliques des populations microbiennes impliquées dans les processus de bioremédiation des chloroéthènes par des approches moléculaires haut débit : les biopuces ADN fonctionnelles

Chlorinated solvents are among the most frequent contaminants found in groundwater and subsurface ecosystems. Because of their high toxicity and carcinogenicity, they represent a serious risk for human health and the environment. Thus, such polluted sites need a rehabilitation treatment. Among remediation solutions, microbial bioremediation represents a less invasive and expensive alternative than physico-chemical treatments. However, the process efficiency greatly depends on the environmental conditions and the microbial populations’ biodegradation capacities. Therefore, bioremediation treatment optimization requires the identification and monitoring of such capacities before and during the treatment. Functional Gene Arrays (FGA), by profiling environmental communities in a flexible and easy-to-use manner, are well adapted for an application in bioremediation. But, constructing efficient microarrays dedicated to microbial ecology requires a probe design step allowing the selection of highly sensitive, specific and explorative oligonucleotides. After a detailed state of the art on probe design strategies suitable for microbial ecology studies, we present new software, called HiSpOD, generating efficient explorative probes for FGA dedicated to environmental applications. Finally, this bioinformatics tool was used to construct a FGA targeting most genes involved in chloroethenes biodegradation pathways which allowed the evaluation of biostimulation treatments conducted on indigenous bacterial populations for several industrial contaminated sites.Les chloroéthènes sont les polluants majeurs des eaux souterraines et des nappes phréatiques. De par leur toxicité et leur effet cancérigène, ils représentent une préoccupation majeure pour les autorités publiques et sanitaires. La restauration des sites contaminés est possible par des techniques de dépollution biologique impliquant les microorganismes (bioremédiation microbienne). Cependant, la réussite des traitements dépend à la fois des conditions physicochimiques du site pollué et des capacités de dégradation de la microflore indigène. Ainsi, pour optimiser les processus de décontamination, l’identification et le suivi des différentes populations microbiennes sont indispensables avant et pendant le traitement. Les biopuces ADN fonctionnelles (FGA, Functional Gene Array), outils moléculaires haut débit, sont particulièrement bien adaptées pour des applications en bioremédiation. Leur élaboration nécessite de disposer de logiciels performants pour le design de sondes qui combinent à la fois une forte sensibilité, une très bonne spécificité et un caractère exploratoire, ce dernier étant indispensable pour la détection des séquences connues mais surtout de celles encore jamais décrites au sein d’échantillons environnementaux. Un nouveau logiciel, autorisant la sélection de sondes combinant tous ces critères, a été développé et nommé HiSpOD. Son utilisation pour la construction d’une FGA dédiée aux voies de biodégradation des chloroéthènes a permis d’évaluer l’effet de traitements de biostimulation sur la microflore indigène pour plusieurs sites industriels contaminés. Les données révèlent différentes associations entre microorganismes déhalorespirants qui sont fonction des paramètres environnementaux

Characterization of microbial populations’ capacities involved in chloroethenes bioremediation processes using high-throughput molecular tools : functional DNA microarrays

Les chloroéthènes sont les polluants majeurs des eaux souterraines et des nappes phréatiques. De par leur toxicité et leur effet cancérigène, ils représentent une préoccupation majeure pour les autorités publiques et sanitaires. La restauration des sites contaminés est possible par des techniques de dépollution biologique impliquant les microorganismes (bioremédiation microbienne). Cependant, la réussite des traitements dépend à la fois des conditions physicochimiques du site pollué et des capacités de dégradation de la microflore indigène. Ainsi, pour optimiser les processus de décontamination, l’identification et le suivi des différentes populations microbiennes sont indispensables avant et pendant le traitement. Les biopuces ADN fonctionnelles (FGA, Functional Gene Array), outils moléculaires haut débit, sont particulièrement bien adaptées pour des applications en bioremédiation. Leur élaboration nécessite de disposer de logiciels performants pour le design de sondes qui combinent à la fois une forte sensibilité, une très bonne spécificité et un caractère exploratoire, ce dernier étant indispensable pour la détection des séquences connues mais surtout de celles encore jamais décrites au sein d’échantillons environnementaux. Un nouveau logiciel, autorisant la sélection de sondes combinant tous ces critères, a été développé et nommé HiSpOD. Son utilisation pour la construction d’une FGA dédiée aux voies de biodégradation des chloroéthènes a permis d’évaluer l’effet de traitements de biostimulation sur la microflore indigène pour plusieurs sites industriels contaminés. Les données révèlent différentes associations entre microorganismes déhalorespirants qui sont fonction des paramètres environnementaux.Chlorinated solvents are among the most frequent contaminants found in groundwater and subsurface ecosystems. Because of their high toxicity and carcinogenicity, they represent a serious risk for human health and the environment. Thus, such polluted sites need a rehabilitation treatment. Among remediation solutions, microbial bioremediation represents a less invasive and expensive alternative than physico-chemical treatments. However, the process efficiency greatly depends on the environmental conditions and the microbial populations’ biodegradation capacities. Therefore, bioremediation treatment optimization requires the identification and monitoring of such capacities before and during the treatment. Functional Gene Arrays (FGA), by profiling environmental communities in a flexible and easy-to-use manner, are well adapted for an application in bioremediation. But, constructing efficient microarrays dedicated to microbial ecology requires a probe design step allowing the selection of highly sensitive, specific and explorative oligonucleotides. After a detailed state of the art on probe design strategies suitable for microbial ecology studies, we present new software, called HiSpOD, generating efficient explorative probes for FGA dedicated to environmental applications. Finally, this bioinformatics tool was used to construct a FGA targeting most genes involved in chloroethenes biodegradation pathways which allowed the evaluation of biostimulation treatments conducted on indigenous bacterial populations for several industrial contaminated sites